The Variational Bayes Method in Signal Processing (Signals and Communication Technology)
The Variational Bayes Method in Signal Processing (Signals and Communication Technology)
Soft input channel estimation for turbo equalization
IEEE Transactions on Signal Processing - Part I
IEEE Transactions on Signal Processing - Part II
IEEE Transactions on Signal Processing
The Variational Inference Approach to Joint Data Detection and Phase Noise Estimation in OFDM
IEEE Transactions on Signal Processing
Blind channel estimation in MIMO OFDM systems with multiuser interference
IEEE Transactions on Signal Processing
A Semiblind Channel Estimation Approach for MIMO–OFDM Systems
IEEE Transactions on Signal Processing - Part I
A QRD-M/Kalman filter-based detection and channel estimation algorithm for MIMO-OFDM systems
IEEE Transactions on Wireless Communications
Optimal training signals for MIMO OFDM channel estimation
IEEE Transactions on Wireless Communications
A road to future broadband wireless access: MIMO-OFDM-Based air interface
IEEE Communications Magazine
Adaptive MAP receiver via the EM algorithm and message passings for MIMO-OFDM mobile communications
IEEE Journal on Selected Areas in Communications
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Based on the Variational Bayes expectation-maximization (VBEM) algorithm, a low complexity semi-blind Bayesian iterative receiver with joint signal detection and channel tracking is proposed in this paper for MIMO-OFDM systems over time-varying multi-path channels. Since the VBEM algorithm provides distribution estimation of all parameters, the detection performance can be improved by taking the channel estimation error into account. In addition, with the aid of the soft information provided by the signal detector, the recursive VBEM (RVBEM) algorithm is introduced to track the time-varying channels. Due to the high complexity of the RVBEM algorithm, a novel time-frequency domain recursive VBEM (TF-LCRVBEM) algorithm with low complexity is further proposed. The TFLCRVBEM algorithm simply predicts the channel impulse responses (CIRs) on time domain and recursively refines them on all subcarriers. The complexity analysis results demonstrate that the TF-LCRVBEM algorithm totally avoids computation of matrix inversion and obtains linear complexity. Moreover, the simulation results show that the proposed receiver not only dramatically outperforms the conventional receiver, but also provides performance close to the optimal receiver with perfect channel state information (PCSI).